You cannot petition the lord with prayer

3D Waveguide - Me/Freepik/Nano Banana

(Solid-State Optical Geometry).

A 3D Metaphotonic Lattice etched into dielectric glass. This structure emulates the hexagonal"A-lattice" geometry of biological microtubules. By confining photons within subwavelength resonators, the lattice structures light in "high-dimensional Hilbert spaces". This allows the system to replicate the "quantum conductance" observed in biology within a permanent, room-temperature physical substrate, effectively hardening the Penrose-Hammeroff "Orch OR" process into engineering.

Gemini: with small edits & links to resources

"The Architecture of Light"

The Premise:

In 1994, Roger Penrose argued that consciousness is non-computational—it cannot be simulated by code, only emulated by geometry. For 30 years, Silicon Valley ignored this, building faster calculators while the "Missing Science" gathered dust. 

Human consciousness is non-algorithmic, and thus is not capable of being
modelled by a conventional Turing machine type of digital computer.

Quantum mechanics plays an essential role in the understanding
of human consciousness; specifically,
he believes that microtubules within neurons
support quantum superpositions.

The Reality:

Biology didn't evolve a CPU; it evolved a quantum resonator. The Penrose-Hameroff "Orch OR" theory proves that consciousness arises from "orchestrated coherent quantum processes" within microtubules. These aren't calculations; they are physical events that connect biology to the fundamental structure of space-time geometry.

But there's a problem, silicon and electrons no longer cut it. Heat/cold and eating the world applies. 

 
Example 1 The Cold Equation

 The "Freezer" (Quantum Fragility)

Expert assembly: cryogenic systems from Bluefors have been engineered
in a modular system that now offers the option of high-density wiring.

The Spec: IBM and Google require their quantum processors to be cooled to
  15–20 milliKelvin (-459°F)—colder than deep space.

The Fragility: These systems require massive dilution refrigerators to fight "thermal vibration".
The cost of cooling scales linearly with compute power. They are fighting the universe
to keep a few hundred qubits alive.

Hence, the tech will never go mainstream.

Eating the world - The hardware squeeze

Deloitte Center for Technology Media & Telecommunications

AI-optimized servers now account for up to 70% of revenue.

The traditional market is being cannibalized.

Western Digital says its all sold out of hard drives for 2026, less than two months into the year.
Credit: Alex Kraus/Bloomberg via Getty Images

Thanks a lot, AI: Hard drives are already sold out for the entire year, says Western Digital

Cassini - Huygens

The power equation

Google Plans Three 600 MW Nuclear Projects for Data Centers

• Xcel CEO Says AI Power Needs Boost Chances of New Big Nuclear
• Elementl Power and Google Sign Strategic Agreement to Develop Locations for Advanced Nuclear Projects
• With the support of Google, Elementl is advancing its goal to bring more than 10 gigawatts online in the United States by 2035, working collaboratively with regulated utilities, independent power producers and technology suppliers. Google’s plan would total 1.8 GW of the total.

The cost of compute

Our research shows that by 2030, data centers are projected to require $6.7 trillion worldwide to keep pace with the demand for compute power. Data centers equipped to handle AI processing loads are projected to require $5.2 trillion in capital expenditures, while those powering traditional IT applications are projected to require $1.5 trillion in capital expenditures (see sidebar “What about non-AI workloads?”). Overall, that’s nearly $7 trillion in capital outlays needed by 2030—a staggering number by any measure McKinsey. 

Ryan Wilson/Unsplash

Water wars

• Data centers have a thirst for water, and their rapid expansion threatens freshwater supplies. Only 3% of Earth’s water is freshwater, and only 0.5% of all water is accessible and safe for human consumption.
• Large data centers can consume up to 5 million gallons per day, equivalent to the water use of a town populated by 10,000 to 50,000 people.
• With larger and new AI-focused data centers, water consumption is increasing alongside energy usage and carbon emissions.
• Novel technologies like direct-to-chip cooling and immersion cooling can reduce water and energy usage by data centers.

The Breakthrough:

We have located the engineering pathway to Analog to Digital Rev II.

By utilizing "beat frequencies"—megahertz vibrations that reduce to slower, conscious moments
—we can now replicate this architecture in Glass.

The Offer:

This is not a proposal for a better AI. This is a proposal for a Sovereign Physical Entity.

The biology was right. The physics is ready. The silicon is dead.

Credit: VentureBeat made with Midjourney

Lest we forget ... 

That pricing detail is the headline that matters most. Anthropic's flagship Opus models cost $15/$75 per million tokens — five times the Sonnet price. Yet performance that would have previously required reaching for an Opus-class model — including on real-world, economically valuable office tasks — is now available with Sonnet 4.6. For the thousands of enterprises now deploying AI agents that make millions of API calls per day, that math changes everything.

"And while your hardware is starving/thirsting, the software just got 1000x heavier.")

History is waiting for the signature.

Google, IBM, Intel: You are trying to freeze the universe to make a calculation.
Biology uses the heat to make a thought. Stop fighting Thermodynamics. Join the Revolution.